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Describe LinearRegression here. | '''Multiple regression analysis applied to EEG and MEG data''' These tools apply multiple linear regression to EEG and MEG data, in contrast to conventional factorial averaging. The input are Neuroscan cnt-files (EEG) or Neuromag fiff-files (MEG), respectively. The output are either ascii, avg (EEG) or fiff-files (MEG), which can be processes just as conventional ERP/ERFs, e.g. with respect to source analysis. These tools are still under development. If you would like more information, please contact olaf.hauk@mrc-cbu.cam.ac.uk. A different approach to regression analysis is also part of SPM5. |
Multiple regression analysis applied to EEG and MEG data
These tools apply multiple linear regression to EEG and MEG data, in contrast to conventional factorial averaging. The input are Neuroscan cnt-files (EEG) or Neuromag fiff-files (MEG), respectively. The output are either ascii, avg (EEG) or fiff-files (MEG), which can be processes just as conventional ERP/ERFs, e.g. with respect to source analysis. These tools are still under development. If you would like more information, please contact olaf.hauk@mrc-cbu.cam.ac.uk. A different approach to regression analysis is also part of SPM5.